Security Scan Report: escortsabahsarawak.pages.dev

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Submitted: Jan 30, 2026, 3:48:25 AMCompleted: Jan 30, 2026, 3:50:02 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 59 HTTP transactions. The main domain is escortsabahsarawak.pages.dev and was registered NaN years ago.

Submitted URL: https://escortsabahsarawak.pages.dev/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Legitimate site with adult escort content; no immediate security threats detected

Safety Factors
No forms collecting sensitive data
No malicious Indicators of Compromise
Static informational content
Domain age information unavailable

Details

Page Title

The Best Outcall Escort Girls In Sabah & Sarawak

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(75%)

Domain Information

The domain 'escortsabahsarawak.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'escortsabahsarawak'. The registrable portion 'pages' spans 5 characters split between two vowels and three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://escortsabahsarawak.pages.dev/

Page Load Overview

2.09s
Total Load Time
52
HTTP Requests
3
Domains
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,475 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
75%
download file sharing
71%
phishing scam
64%
blog personal website
60%
documentation technical
59%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26142.251.127.97United States
26172.66.47.191United States
AS13335Cloudflare, Inc.
522--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B28263318040712B0A93B2F572392B5EB6C6C723FF63554262F68BDC0BD3E86CD69556

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:1fq4krb49GLHhEQqdJuU5jqiIJpFadWmLHnx/R:t9ALHhThmLHx/R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18888:CAACCiRIMFRqlCg+AjABiICUGMBEMCBBAaGmRJmQcHEWMEUkgWNbUwvggOIAAARwxAACwAFOChFQmBRKkGCq0AhRfARoVhVK

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ff4108f0f0b8983e
Perceptual Hash:c920b2efd6dc4d12
Difference Hash:66dbd362c3633270
Wavelet Hash:ff4148f0f0b8923e
Color Hash:#3a7078

Scan History

Scan history not available

Unable to load historical scan data